The analysis of Minority Game scenario lays at the intersection of Artificial Intelligence, Economics and Statistical Physics. We present experimental results about the game aiming at studying such a scenario under an AI perspective. By means of an analysis of the role of memory as a parameter in the game, but focusing on the agent and not in the game as a whole, we show that the game has previously unexploited complexity features. Finally, we aim at determining how such a parameter affects decisions made in the construction of an efficient agent, and at establishing the relationship of such decisions with the global dynamics of the game.